You've probably landed on a page that was generated semi automatically without realizing it. That's programmatic SEO, a strategy that lets you create pages at scale based on structured information to rank for specific terms or categories, and it's one of the most underused growth levers for product, template, and tool pages.

What is programmatic SEO and why does it matter for growth?

Programmatic SEO is the practice of generating multiple pages with different angles that cover a specific search intent, all connected to a central topic. Think of it as folders inside folders: a big theme, broken into categories, and then into smaller subcategories. Each page targets a more specific query but lives under the same structural umbrella.

A clear example is Zapier. Their integration pages are built programmatically, with one page per app connected to their automation platform. Building those by hand would be unrealistic, but since the information is standardizable and they own the product data, scaling makes sense. The traffic story backs it up: before 2017 they barely ranked, and once they pushed hundreds (likely thousands) of pages with the same structure, traffic grew dramatically and has stayed durable since [02:00].

What is programmatic SEO? It's a method to publish many pages at scale, each targeting a specific search intent, using a shared template plus unique data per page.

When does programmatic SEO actually work (and when does it backfire)?

It works especially well for templates, tools, and product pages, because they're harder to copy and tend to hold their defensibility over time. They're a resource, not just an informational answer, so even when platforms like ChatGPT let users buy directly, the research and discovery process still passes through the web.

Now the warning. Programmatic SEO is not a license to spam. Repeat after me: it isn't about generating hundreds of AI pages without adding value to the end user. That hack usually ends in Google penalties. If you're building a serious company aiming for long term growth, you do this intentionally, on searches where you can add real value, contribute unique data, or deliver a clear resource.

Does Google penalize programmatic SEO? Not by default. Google penalizes low value, mass produced pages without unique content. Programmatic pages with proprietary data and clear user value can rank and stay ranked.

How do you build a programmatic SEO strategy step by step?

If you're newer to SEO, here are the five elements to map before you publish anything. Platzi has solid SEO courses if you want to go deeper on the fundamentals.

Categories, intent, and on page structure

Start with your categories and subcategories. In Zapier's case: apps, then a specific app, then integrations. Folders and subfolders, mapped before writing a single page. Pages must also link to each other so Google and other engines understand how they're related.

Then lock the search intent per page: what query is this URL trying to win? One page, one clear intent.

Next comes the on page structure: the H1 as the main title, H2s as section headers, H3s as subsections. This tagging is done inside the site, similar to picking heading styles in Notion. It signals hierarchy to browsers and to language models, and it genuinely helps you rank because engines understand the order of your content.

Unique data and a real differentiation angle

Ideally, you have a unique data source or angle that makes the content actually different. At Porter Metrics, one of the startups where I led growth, we had marketing templates linked to downloadable Looker Studio reports. We started building those pages one by one, manually. Once we proved the model, we moved to a programmatic publishing system to scale to new searches faster, even though the data behind each template stayed unique [07:30].

For differentiation, the question is simple: what makes our content unique? Treat it like product differentiation. Look at what competitors cover and what they're missing. If everyone lists integrations, but you ship integrations plus templates plus a tutorial on how to use them, that's your edge.

How does this fit into a growth bet using the course framework?

Applying the framework we've been using, here's how I'd shape a personal programmatic SEO bet for my own site, where SEO is underused because LinkedIn has been my main channel.

• Insight: I can grow qualified traffic with incremental effort by reusing YouTube content and turning each video into an article.
• Growth lever: acquisition of new users plus engagement with existing ones who already consume my video content and will now also read it.
• Appetite: two weeks. The automation itself takes minutes, but designing a scalable structure takes longer.
• Constraints: only no code and low code integrations, no developer help, and starting only with YouTube videos as the source.
• Execution: Relay for automation, Framer for the site, and Notion as the database [10:30].

That's the editorial logic behind programmatic SEO: structure first, intent second, unique data third, and only then automation. In the next class we'll implement the practical build. Drop a comment with the topic you'd scale programmatically and I'll react to it.